sk Skill · mukul975
detecting-fileless-malware-techniques
Detects and analyzes fileless malware that operates entirely in memory using PowerShell, WMI, .NET reflection, registry-resident payloads, and living-off-the-land binaries (LOLBins) without writing traditional executable files to disk. Use for requests involving fileless threat detection, in-memory malware investigation, LOLBin abuse analysis, or WMI persistence examination.
Open on skills.sh ↗read 2026-09-17
- installs 8w
- 0
- 30-day movement
- starts with the next reading
- Related entries
- 1
- Connections
- 0
yamlpythonbashPythondetectionLOLBinsmemory-analysisfilelessmalware
- Host repository
- mukul975/Anthropic-Cybersecurity-Skills
- Version
- 1.0.0
- Licence
- Apache-2.0
- Host stars
- 33k
- Host language
- Python